Multi-pose ear recognition is a challenging problem of ear recognition technology. In this paper, the method based on
locally linear embedding (LLE) and nearest feature line (NFL) is proposed by analyzing the disadvantages of most 2D
ear recognition methods currently when dealing with poses variation and the shortcomings of the nearest neighbor (NN)
classifier. The LLE algorithm is used to extract the ear feature, and then the NFL classifier is applied to classify ear
images under varying poses. By contrast, experimental results show that the method based on LLE and NFL can
obviously improve the recognition performance, which demonstrates the validity of this method.